Data Science to production accelerator
Project description
# Project Hadron ## Overview
Project Hadron is an open-source application framework for in-memory preprocessing, where data analysis, machine learning, and other data-intensive tasks require efficiency and speed. With :Apache Arrow as its canonical, and a more directed use of pandas, Project Hadron offers effective data management, extensive interoperability, improved memory management and hardware optimization.
At its concept, Project Hadron was conceived with a desire to improve the availability of objective relevant data, increase the transparency and traceability of data lineage and facilitate knowledge transfer, retrieval and reuse.
At its core Project Hadron is a selection of capabilities that represent an encapsulated set of actions that act upon a given set of features or dataset. An example of this would be FeatureSelection, a capability class, encapsulating cleaning data by removing uninformative columns.
For the complete documentation [read-the-docs](https://discovery-capability.readthedocs.io/en/latest/)
## Installation
### Python version We recommend using the latest version of Python. Project Hadron supports Python 3.8 and newer.
### Package installation The best way to install the component packages is directly from the [Python Package Index](https://pip.pypa.io/en/stable/) using pip.
The component package is discovery-capability and pip installed with:
`bash pip install discovery-capability `
if you want to upgrade your current version then using pip install upgrade with:
`bash pip install -U discovery-capability `
This will also install or update dependent third party packages. The dependencies are limited to Python, PyArrow and related Data manipulation tooling such as Pandas, Numpy, scipy, scikit-learn and visual packages matplotlib and seaborn, and thus have a limited footprint and non-disruptive installation in a data processing environment.
## Next Steps For next steps [read-the-docs](https://discovery-capability.readthedocs.io/en/latest/)
## License Distributed under the MIT License. See LICENSE.txt for more information or reference [MIT](https://choosealicense.com/licenses/mit/)
## Contributing
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag “enhancement”. Don’t forget to give the project a star! Thanks again!
Fork the Project
Create your Feature Branch (git checkout -b feature/AmazingFeature)
Commit your Changes (git commit -m ‘Add some AmazingFeature’)
Push to the Branch (git push origin feature/AmazingFeature)
Open a Pull Request
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for discovery-capability-0.22.4.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | e1428a9e046ba90edd49c7dfdd5996bdf0dbc8187a908b530b0350dab6583bff |
|
MD5 | 5b46b3614f7842253768ed000b07ef98 |
|
BLAKE2b-256 | b22a0646289b739f0e333cdcfaeeecd30b5a2e9417f9a42a4d2e7fbadad14f8e |
Hashes for discovery_capability-0.22.4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5e989a599f064a16db44d3de9360d8807b37f84ee55116d6a9ea68ffd27229b2 |
|
MD5 | f6b8e888706b6ea1f9128fa71326a454 |
|
BLAKE2b-256 | e543eabba86f8d31a4f99d5a1faa2f8f46cf8fdc728611879b0f81f450ae25bb |